This probability is equal to the amount of ‘1’s divided by the total amount of numbers on the spinner. There are 8 numbers in total on the spinner. There are 3 ones on the spinner. The probability of spinning a ‘1’ is 3 / 8 .

one fourth

1 in 4

four possible outcomes

see as the wheel is divided into 6 halves, therefore probability of getting an even number is 1/2 or 3/6.

If the spinner has an odd number of numbers on it, the probability of spinning an odd number will vary. For instance, if there are 3 spaces on the spinner, the probability of spinning an odd number will be 23 . However, if there are 11 spaces, the probability will be 611 .

The probability of getting an even number on spinning the wheel is 12. The probability of getting a prime number on spinning the wheel is 46=23. The number of even numbers in the wheel is 2.

Step-by-step explanation: There are 2 multiples of 3: 3 and 6. So, 6 numbers are left out of 8 numbers. Therefore, the probability is 6/8 that is, 3/4.

There are 6 total possible results, so the probability of rolling a number less than 3 is 26 or 13 or 0.3333 .

37.5%

A number cube (dice) has six sides labelled 1 through 6. Hence, a fair dice has a probability of 16 to land on any predetermined number 1 through 6. Therefore, to land on 3 the probability is 16 .

12.5%

The probability of spinning a yellow or green in a color wheel of 8 colors (assuming all the colors are different) is 2/8. The probability of rolling a 4 on a single die is 1/6.

Answer: 3/8 probability or a 37.5% chance.

3. Single die roll probability tables….Two (6-sided) dice roll probability table.

If the spinner was fair, how many times would you expect to see each number if you spun it 300 times? An experiment is deemed to be fair if all outcomes are equally likely; that is to say, all outcomes have an equal probability or an equal chance of occurring. For this spinner, there are 10 possible outcomes.

Basic Probability Rules

• Probability Rule One (For any event A, 0 ≤ P(A) ≤ 1)
• Probability Rule Two (The sum of the probabilities of all possible outcomes is 1)
• Probability Rule Three (The Complement Rule)
• Probabilities Involving Multiple Events.
• Probability Rule Four (Addition Rule for Disjoint Events)
• Finding P(A and B) using Logic.

A probability of 0 means that the event will not happen. For example, if the chance of being involved in a road traffic accident was 0 this would mean it would never happen. You would be perfectly safe. A probability of 1 means that the event will happen.

Addition and Multiplication Theorem of Probability

• P(A + B) or P(A∪B) = Probability of happening of A or B. = Probability of happening of the events A or B or both. = Probability of occurrence of at least one event A or B.
• P(AB) or P(A∩B) = Probability of happening of events A and B together.

There are three main rules associated with basic probability: the addition rule, the multiplication rule, and the complement rule.

The first axiom states that probability cannot be negative. The smallest value for P(A) is zero and if P(A)=0, then the event A will never happen. The second axiom states that the probability of the whole sample space is equal to one, i.e., 100 percent.

Axiomatic Definition of Probability. Probability can be defined as a set function P(E) which assigns to every event E a. number known as the “probability of E” such that, The probability of an event P(E) is greater than or equal to zero.

an approach to the understanding of probability based on the assumptions that any random process has a given set of possible outcomes and that each possible outcome is equally likely to occur.